drug_info_combo2

Data set describing the two drugs involved in the example for a
dual-agent combination study.

datasets

Bayesian logistic regression model with optional
EXchangeability-NonEXchangeability parameter modelling for flexible
borrowing from historical or concurrent data-sources. The safety model
can guide dose-escalation decisions for adaptive oncology Phase I
dose-escalation trials which involve an arbitrary number of
drugs. Please refer to Neuenschwander et al. (2008)
<doi:10.1002/sim.3230> and Neuenschwander et al. (2016)
<doi:10.1080/19466315.2016.1174149> for details on the methodology.

Sebastian Weber

OncoBayes2

Bayesian Logistic Regression for Oncology Dose-Escalation Trials

Novartis Pharma AG

Lukas A. Widmer

Andrew Bean

Trustees of Columbia University

drug_info_combo2 function

A tibble with 2 rows (one per durg) and 4 columns:
<dl>
<dt>drug_name</dt>
<dd>name of drug</dd><dt>dose_ref</dt>
<dd>reference dose</dd><dt>dose_unit</dt>
<dd>units used for drug amounts</dd><dt>reference_p_dlt</dt>
<dd>a-priori probability for a DLT at the reference dose</dd>
</dl>

Format

Dataset: drug information for a dual-agent combination study — drug_info_combo2

A tibble with 2 rows (one per durg) and 4 columns:
<dl>
<dt>drug_name</dt>
<dd>name of drug</dd>

<dt>dose_ref</dt>
<dd>reference dose</dd>

<dt>dose_unit</dt>
<dd>units used for drug amounts</dd>

<dt>reference_p_dlt</dt>
<dd>a-priori probability for a DLT at the reference dose</dd>


</dl>

drug_info_combo2: Dataset: drug information for a dual-agent combination study

Description

Usage

Arguments

Format

See Also